The Intelligent Coordination and Logistics Lab (ICLL) at Carnegie Mellon
University seeks applicants for one or more open research programmer
positions to support ongoing projects in the area of planning and
scheduling. The ICLL has long been recongized as a leader in the
development of constraint-based scheduling techniques and frameworks, and
the lab has been engaged in the development of innovative, AI-based
solutions to complex planning and scheduling problems for many years.
Current research spans a broad range of topics including:

Current projects are investigating these issues and developing experimental
software systems in a number of application domains, including integrated
airlift and tanker mission scheduling, air campaign planning, manufacturing
production management and supply chain coordination. Research activities
range from development of basic concepts/techniques to experimental system
development to technology hardening and transition.

The successful candidate must have a B.S. or M.S. Degree in Computer
Science or a related field, demonstrated programming proficiency in
Commonlisp or Java, and familiarity with Unix, NT, and MacOS operating
systems. Prior experience in the area of planning and scheduling systems is
a big plus, as is experience in any of the following areas:
object-oriented design and programming techniques, user interface
design/development, large system development, and team-oriented research.
Salary is comensurate with experience and competitive.

Carnegie Mellon University is located in Pittsburgh, PA, a city of
approximately 2 million with a high concentration of cultural and arts
events, a vibrant and growing high technology industry, and quite
reasonable cost of living. Carnegie Mellon University is an Equal
Opportunity Employer.